Projects per year
Abstract
Developing semantically-aware web services requires comprehensive and accurate ontologies. Evaluating an existing ontology or adapting it is a labor-intensive and complex task for which no automated tools exist. Nevertheless, in this paper we propose a tool that aims at making this vision come true, i.e., we present a tool for the automated evaluation of ontologies that allows one to rapidly assess an ontology’s coverage of a domain and identify specific problems in the ontology’s structure. The tool evaluates the domain coverage and correctness of parent-child relations of a given ontology based on domain information derived from a text corpus representing the domain. The tool provides both overall statistics and detailed analysis of sub-graphs of the ontology. In the demo, we show how these features can be used for the iterative improvement of an ontology.
Original language | English |
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Title of host publication | ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 |
Number of pages | 4 |
Publisher | Association for Computing Machinery |
Publication date | 30 Apr 2023 |
Pages | 82–85 |
ISBN (Electronic) | 978-1-4503-9419-2 |
DOIs | |
Publication status | Published - 30 Apr 2023 |
Event | The ACM Web Conference 2023 - Austin, United States Duration: 30 Apr 2023 → 4 May 2023 |
Conference
Conference | The ACM Web Conference 2023 |
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Country/Territory | United States |
City | Austin |
Period | 30/04/2023 → 04/05/2023 |
Keywords
- BERT
- knowledge engineering
- natural language processing
- ontology
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Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
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